AD daily-report-generator
AI全自动生成日报、周报、月报——30秒搞定你30分钟的工作。零输入，自动从工作记忆和日志中提炼成果，支持日报→周报→月报逐级汇总。输出飞书卡片、Markdown、纯文本，7种报告模板覆盖全部场景。触发词：日报、周报、月报、daily report、weekly report、monthly report、今天做了什么、本周总结、本月回顾、工作汇报、帮我写日报、工作总结、report summary、end of day、standup report。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (daily-report-generator) differs from the folder (smart-report-gen)
- 100Tools and files. No external tools needed
- 100Steps. 19 steps
- 100Execution cost. Instruction body is 804 tokens
- 100Running it twice. No mutating operations
- low 12 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -230 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 228: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 19 items
- +4Has examples (7 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.
External checks
ClawHub: suspicious
This work-report skill appears useful and not malicious, but it can broadly gather local work history and prepare it for external sharing with unclear consent boundaries.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026